Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Special Issue on Bio-inspired computing and communication in wireless Ad Hoc and sensor networks
Date
2009-06-01
Author
Akan, Ozgur B.
Dressler, Falko
Leibnitz, Kenji
Znati, Taieb
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
145
views
0
downloads
Cite This
Subject Keywords
Computer Networks and Communications
,
Hardware and Architecture
,
Software
URI
https://hdl.handle.net/11511/67838
Journal
AD HOC NETWORKS
DOI
https://doi.org/10.1016/j.adhoc.2008.06.002
Collections
Department of Electrical and Electronics Engineering, Article
Suggestions
OpenMETU
Core
SWARM-based data delivery in Social Internet of Things
Hasan, Mohammed Zaki; Al-Turjman, Fadi (Elsevier BV, 2019-03-01)
Social Internet of Things (SIoTs) refers to the rapidly growing network of connected objects and people that are able to collect and exchange data using embedded sensors. To guarantee the connectivity among these objects and people, fault tolerance routing has to be significantly considered. In this paper, we propose a bio-inspired particle multi-swarm optimization (PMSO) routing algorithm to construct, recover and select k-disjoint paths that tolerates the failure while satisfying quality of service (QoS) ...
Efficient active rule processing in wireless multimedia sensor networks
Oztarak, Hakan; Akkaya, Kemal; Yazıcı, Adnan; Sarisaray-Boluk, Pinar (Inderscience Publishers, 2016-01-01)
Due to limited energy resources in wireless multimedia sensor networks (WMSNs), there is a need to perform data reduction and elimination over raw video data at the camera sensors before transmission. Nonetheless, this data reduction and elimination may create imprecision and uncertainty in the data, reducing the quality of decision making. In this paper, we propose a reactive mechanism for not only fusing uncertain data at the sink but also for automated processing of data using active rules, extending the...
A systematic approach to the integration of overlapping partitions in service-oriented data grids
Sunercan, H. Kevser; Alpdemir, M. Nedim; Çiçekli, Fehime Nihan (Elsevier BV, 2011-06-01)
This paper aims to provide a service-oriented data integration solution over data Grids for cases where distributed data sources are partitioned with overlapping sections of various proportions. This is an interesting variation which combines both replicated and partitioned data within the same data management framework. Thus, the data management infrastructure has to deal with specific challenges regarding the identification, access and aggregation of partitioned data with varying proportions of overlappin...
INtERCEDE: An algorithmic approach to networked control system design
Senol, Sinan; Leblebicioğlu, Mehmet Kemal; Schmidt, Şenan Ece (Elsevier BV, 2011-07-01)
Networked Control Systems (NCS) are distributed control systems where the sensor signals to the controllers and the control data to the actuators are enclosed in messages and sent over a communication network. On the one hand, the design of an NCS requires ensuring the stability of the control system and achieving system response that is as close as possible to that of an ideal system which demands network resources. On the other hand, these resources are limited and have to be allocated efficiently to acco...
Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison
Soysal, Murat; Schmidt, Şenan Ece (Elsevier BV, 2010-06-01)
The task of network management and monitoring relies on an accurate characterization of network traffic generated by different applications and network protocols. We employ three supervised machine learning (ML) algorithms, Bayesian Networks, Decision Trees and Multilayer Perceptrons for the flow-based classification of six different types of Internet traffic including peer-to-peer (P2P) and content delivery (Akamai) traffic. The dependency of the traffic classification performance on the amount and composi...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. B. Akan, F. Dressler, K. Leibnitz, and T. Znati, “Special Issue on Bio-inspired computing and communication in wireless Ad Hoc and sensor networks,”
AD HOC NETWORKS
, pp. 651–653, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67838.